Drowning in Data: Why It's Time to End the Healthcare Data Lake

Drowning in Data: Why It's Time to End the Healthcare Data Lake` discusses the challenges faced by the healthcare industry in modernizing their analytics data warehouses and data lakes. The traditional approach of physically moving all data into a single warehouse or lake, followed by updates to improve performance, has proven costly and inefficient. New technologies like Hadoop have failed to solve these issues and have instead introduced new challenges. The article proposes an alternative approach called the operational data layer (ODL), which can help mitigate legacy system issues without replacing them. An ODL strategy uses a flexible document-based database to build new features, summarize, analyze, and respond to data events in real-time, making it an ideal solution for healthcare organizations looking to deliver real-time data and analytics at the speed of agile software delivery teams.

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